TT66T Series Number Plates
UK vehicles during September 2016 to February 2017 with registration prefix TT66T.
- Area Office
- DVLA Region (TT)
- Release Period
- September 2016 to February 2017
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 93.8%
Average MOT Pass Rate
Based on 16 historical tests
Common Colors
Active Plates in TT66T Series(7 of 7 displayed)
AUDI TT
2.0L · Diesel · Grey
- First Used
- Sep 2016
- MOT Expiry
- 20 Sep 2027
- Tax Status
- —
- Color
- Grey
AUDI TT
1.8L · Petrol · Purple
- First Used
- Oct 2016
- MOT Expiry
- 05 Sep 2026
- Tax Status
- —
- Color
- Purple
MERCEDES-BENZ CLA 180 AMG LINE PREM + MHEV A
Hybrid Electric (Clean) · Grey
- First Used
- May 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- Grey
MERCEDES-BENZ GLA 250 AMG LINE EXECUTIVE E A
Hybrid Electric (Clean) · Black
- First Used
- Oct 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- Black
ISUZU D-MAX V-CROSS AUTO
Diesel · Orange
- First Used
- Apr 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- Orange
FORD KUGA ST-LINE PHEV CVT
2.5L · Hybrid Electric (Clean) · Grey
- First Used
- Mar 2023
- MOT Expiry
- 30 Mar 2027
- Tax Status
- —
- Color
- Grey
AUDI TT
1.8L · Petrol · Black
- First Used
- Sep 2016
- MOT Expiry
- 02 Oct 2026
- Tax Status
- —
- Color
- Black
Reliability & Common Problem Guides for TT66T Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about TT66T Plates
Where was the TT66T number plate series registered?
Vehicles starting with TT66T were assigned to the DVLA regional office covering the UK. The first two letters (TT) identify the memory tag assigned by the DVLA.
What registration period is TT66T?
The TT66T age identifier corresponds to vehicles first registered between September 2016 to February 2017.
How can I check the MOT history of a TT66T vehicle?
Click any registration in the plate list above to view the complete DVSA inspection history, advisory alerts, mileage progression, road tax status, and our AI mechanical risk evaluation.